Q65HG7 AF NFT

HTH-type transcriptional regulator MntR

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicemfmdcccsm6jufogs2e5zkq52uvfjyrdcmksjyyrpdfgj33gp6a/metadata.json
IPFS of structure file: 
bafybeif4bm2lzzap7yihmvmxo6behclkpbumjzpqcvpuc6p57kziypeybu/AF-Q65HG7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEC47C23c8f2f910cE34d11FAfe8cb6877Fef923b
First NFT owner address (bech32): 
genesis1a3ruy0y097gsec6dz8a0ar9ksal7ly3m8l5ljn
Current NFT ID #240144 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
240144
Accession (UniProt):
Q65HG7
Name::
HTH-type transcriptional regulator MntR
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q65HG7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65HG7|MNTR_BACLD HTH-type transcriptional regulator MntR OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=mntR PE=3 SV=1 MTTPSMEDYIEQIYMLIEEKGYARVSDIAEALAVHPSSVTKMVQKLDKDEYLIYEKYRGLVLTPKGKKIGKRLVYRHELLEQFLRIIGVDEEKIYDDVEGIEHHLSWNSIDRIGDLVQYFEDDSKRIDDLRSVQKRNEQENQ